Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Charmgil Hong"'
Publikováno v:
Journal of KIISE. 48:885-891
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17d904e069d60d82c65f47cc1fedc7ab
https://doi.org/10.5626/jok.2021.48.8.885
https://doi.org/10.5626/jok.2021.48.8.885
Autor:
Gaurav Trivedi, Robert Handzel, Shyam Visweswaran, Charmgil Hong, Harry Hochheiser, Esmaeel R. Dadashzadeh
Publikováno v:
Int J Med Inform
BACKGROUND: Radiologic imaging of trauma patients often uncovers findings that are unrelated to the trauma. These are termed as incidental findings and identifying them in radiology examination reports is necessary for appropriate follow-up. We devel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31abc7cd3b5e3c8b46237290ca3529be
https://doi.org/10.1016/j.ijmedinf.2019.05.021
https://doi.org/10.1016/j.ijmedinf.2019.05.021
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 967:012031
This paper compares artificial intelligence (AI) methods to predict mechanical properties of sheet metal in stamping processes. The deviation of the mechanical properties of each blank leads to unpredicted failures in stamping processes, such as frac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f301c52e493d7a3e13e29b5fe152e68a
https://doi.org/10.1088/1757-899x/967/1/012031
https://doi.org/10.1088/1757-899x/967/1/012031
Autor:
Charmgil Hong, Milos Hauskrecht
This paper overviews and discusses our recent work on a multivariate conditional outlier detection framework for clinical applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab02145a17e65a541e42a261e9077531
https://europepmc.org/articles/PMC4877029/
https://europepmc.org/articles/PMC4877029/
Autor:
Gilles Clermont, Milos Hauskrecht, Charmgil Hong, Quang Nguyen, Iyad Batal, Shyam Visweswaran, Gregory F. Cooper
Publikováno v:
Journal of biomedical informatics. 64
Medical errors remain a significant problem in healthcare. This paper investigates a data-driven outlier-based monitoring and alerting framework that uses data in the Electronic Medical Records (EMRs) repositories of past patient cases to identify an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77e360e62e23b51af8e58da104ebc52e
https://pubmed.ncbi.nlm.nih.gov/27720983
https://pubmed.ncbi.nlm.nih.gov/27720983
Autor:
Charmgil Hong, Milos Hauskrecht
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 29
This paper overviews the background, goals, past achievements and future directions of our research that aims to build a multivariate conditional anomaly detection framework for the clinical application.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fe1a53268151a7aa061ba0b701140b2
https://doi.org/10.1609/aaai.v29i1.9263
https://doi.org/10.1609/aaai.v29i1.9263
Publikováno v:
CIKM
We propose a new probabilistic approach for multi-label classification that aims to represent the class posterior distribution P(Y|X). Our approach uses a mixture of tree-structured Bayesian networks, which can leverage the computational advantages o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e28aa4acb23508e24ae602c9560c1c20
https://doi.org/10.1145/2661829.2661989
https://doi.org/10.1145/2661829.2661989
Publikováno v:
SDM
This paper studies multi-label classification problem in which data instances are associated with multiple, possibly high-dimensional, label vectors. This problem is especially challenging when labels are dependent and one cannot decompose the proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::652879b8f4fd1b91c499352bb58fe0d7
https://doi.org/10.1137/1.9781611973440.113
https://doi.org/10.1137/1.9781611973440.113